Instructions to use multimolecule/ufold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/ufold with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/ufold") model = AutoModel.from_pretrained("multimolecule/ufold") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("rna-secondary-structure", model="multimolecule/ufold") output = predictor("UAGCUUAUCAGACUGAUGUUGA") print(output["secondary_structure"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cd3d0d9a61db2da35694ff3450a0e33ca8c599123e72e86e73668eb727c968b
- Size of remote file:
- 34.6 MB
- SHA256:
- 99b7ea691c2c74a3b0ec74063ab6c89cf4ac7af25caa97e37dead051010b9561
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.